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pro vyhledávání: '"Li, Fengze"'
Dynamic scene reconstruction is essential in robotic minimally invasive surgery, providing crucial spatial information that enhances surgical precision and outcomes. However, existing methods struggle to address the complex, temporally dynamic nature
Externí odkaz:
http://arxiv.org/abs/2411.01218
Aiming at helping users locally discovery retail services (e.g., entertainment and dinning), Online to Offline (O2O) service platforms have become popular in recent years, which greatly challenge current recommender systems. With the real data in Ali
Externí odkaz:
http://arxiv.org/abs/2304.12549
Publikováno v:
In Heliyon 15 October 2024 10(19)
Autor:
Li, Fengze, Ma, Jieming, Tian, Zhongbei, Ge, Ji, Liang, Hai-Ning, Zhang, Yungang, Wen, Tianxi
Mirrors can degrade the performance of computer vision models, but research into detecting them is in the preliminary phase. YOLOv4 achieves phenomenal results in terms of object detection accuracy and speed, but it still fails in detecting mirrors.
Externí odkaz:
http://arxiv.org/abs/2202.08498
Akademický článek
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Autor:
Yue, Guangpeng, Li, Fengze
Publikováno v:
Psychiatria Danubina
Volume 34
Issue suppl 2
Volume 34
Issue suppl 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______951::16e95c523e6dd77e101d7725d6596661
https://hrcak.srce.hr/282058
https://hrcak.srce.hr/282058
Autor:
Li, Fengze, Ma, Jieming, Tian, Zhongbei, Ge, Ji, Liang, Hai-Ning, Zhang, Yungang, Wen, Tianxi
Mirrors can degrade the performance of computer vision models, however to accurately detect mirrors in images remains challenging. YOLOv4 achieves phenomenal results both in object detection accuracy and speed, nevertheless the model often fails in d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0147743257b79024a2040bc13b83ee30